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Spring Framework VS Apache Drill

Compare Spring Framework VS Apache Drill and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Spring Framework logo Spring Framework

The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

Apache Drill logo Apache Drill

Schema-Free SQL Query Engine for Hadoop and NoSQL
  • Spring Framework Landing page
    Landing page //
    2023-08-18
  • Apache Drill Landing page
    Landing page //
    2023-06-17

Spring Framework features and specs

  • Comprehensive Ecosystem
    Spring Framework provides a vast array of tools and modules which address various aspects of application development such as security, data access, and messaging. This helps in building robust enterprise applications.
  • Inversion of Control (IoC) Container
    Spring's IoC container promotes loose coupling by managing object lifecycles and dependencies, making the code more modular and testable.
  • Aspect-Oriented Programming (AOP)
    Spring's AOP module allows for separating cross-cutting concerns like logging, transaction management, and security, making the code cleaner and more maintainable.
  • Spring Boot
    Spring Boot streamlines the setup and development of new Spring applications with built-in configurations and convention over configuration, reducing boilerplate code and speeding up development time.
  • Large Community and Support
    Spring has a large and active community, extensive documentation, and a wide selection of online resources which make it easier to find support and solutions to common problems.
  • Integration Capabilities
    Spring Framework offers seamless integration with various other technologies and frameworks, including Hibernate for ORM, Apache Kafka for messaging, and more.

Possible disadvantages of Spring Framework

  • Complexity
    Spring Framework can be complex and have a steep learning curve, especially for newcomers who are not familiar with its extensive set of features and configurations.
  • Configuration Overhead
    Although Spring Boot reduces the configuration burden, traditional Spring applications may still require extensive XML or annotation-based configurations, which can be cumbersome.
  • Performance Overhead
    The flexibility and the modular nature of Spring can introduce some performance overhead compared to more lightweight solutions, which could be a concern in highly performance-sensitive applications.
  • Version Incompatibility
    Upgrading between different versions of the Spring Framework and its associated projects can sometimes lead to compatibility issues and necessitate significant code changes.
  • Dependency Management
    Managing dependencies in a large Spring application can become complicated, particularly when dealing with multiple modules and third-party libraries, potentially leading to dependency conflicts.

Apache Drill features and specs

  • Schema-Free JSON Querying
    Apache Drill is designed to handle schema-less data, allowing users to query JSON and other flexible schemas without needing pre-defined structures. This flexibility makes it ideal for exploring semi-structured data on the fly.
  • SQL Interface
    Drill offers a user-friendly SQL interface, making it accessible for users familiar with traditional SQL databases. This allows professionals to leverage their existing SQL skills to interact with big data ecosystems.
  • High Performance
    With its ability to efficiently process queries on large datasets, Apache Drill is optimized for high-performance analytics and interactive queries, making it suitable for rapid insights and data exploration.
  • Integration with Multiple Data Sources
    Apache Drill can natively connect to a wide variety of data sources, including Hadoop, NoSQL databases, and cloud storage systems. This integration provides a unified view of diverse datasets without extensive ETL processes.
  • Dynamic Query Optimization
    Drill performs on-the-fly query optimization based on the available data and resource conditions, helping ensure efficient query execution and reduced latency.

Possible disadvantages of Apache Drill

  • Memory Intensive
    Apache Drill can be memory-intensive, especially when handling complex queries or very large datasets. This requires substantial hardware resources for optimal performance, which can be cost-prohibitive.
  • Lack of Mature Support and Community
    Compared to some other open-source projects, Apache Drill does not have as extensive a support network or community. This can make troubleshooting and finding community-driven solutions more challenging.
  • Limited Built-in Security Features
    While Apache Drill supports authentication and encryption, it lacks more granular access controls and advanced security features found in some competing platforms, posing potential risks in highly regulated environments.
  • Steep Learning Curve for Modifications
    For users wanting to extend or modify Apache Drill's capabilities beyond its core functions, the learning curve can be steep due to its architecture and the need for in-depth technical knowledge.
  • Updates and Active Development
    Although Apache Drill is actively developed, the pace of updates may not be as rapid or extensive as newer systems, which might delay the adoption of the latest data processing features and technologies.

Spring Framework videos

What is the Spring framework really all about?

More videos:

  • Tutorial - Spring Framework Tutorial | Full Course

Apache Drill videos

Using Apache Drill

More videos:

  • Review - Drilling into Data with Apache Drill
  • Review - Apache Drill and the Coolness of Big JSON - Jonathan Janos (MapR)

Category Popularity

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Developer Tools
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0% 0
Databases
0 0%
100% 100
Web Frameworks
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Database Management
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100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Spring Framework and Apache Drill

Spring Framework Reviews

Top 9 best Frameworks for web development
Spring offers a wide range of frameworks, such as an MVC framework, a data access framework and a transaction management framework. With its focus on scalability and security, Spring is an excellent choice.
Source: www.kiwop.com
17 Popular Java Frameworks for 2023: Pros, cons, and more
Therefore, the configuration, setup, build, and deployment processes all require multiple steps you might not want to deal with, especially if you’re working on a smaller project. Spring Boot (a micro framework that runs on top of the Spring Framework) is a solution for this problem, as it allows you to set up your Spring application faster, with much less configuration.
Source: raygun.com
Top 10 Phoenix Framework Alternatives
Spring Framework is an open-source app framework and inversion of control container for the Java platform, providing the infrastructure required to develop Java and web apps on top of the Java EE platform.
10 Best Java Frameworks You Should Know
Spring Framework is one of the most extensively used, top-notch, lightweight software application frameworks built for software design, development, and deployment in Java.

Apache Drill Reviews

We have no reviews of Apache Drill yet.
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Social recommendations and mentions

Based on our record, Spring Framework should be more popular than Apache Drill. It has been mentiond 13 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Spring Framework mentions (13)

  • March 2025 Java Key Updates in Boot, Security, and More
    The release of Spring Framework 6.2.5 includes:. - Source: dev.to / about 1 month ago
  • Getting Started with Spring Boot 3 for .NET Developers
    Spring Framework 6: https://spring.io/projects/spring-framework. - Source: dev.to / 4 months ago
  • Want to Get Better at Java? Go Old School.
    We had to write our own frameworks (uphill, both ways) but most current frameworks will have similar documentation pages as well. Both Apache and Spring are especially good at that. - Source: dev.to / over 2 years ago
  • Best Frameworks For Web Development
    Framework link: https://spring.io/projects/spring-framework Github Link: https://github.com/spring-projects/spring-framework. - Source: dev.to / over 2 years ago
  • What to you do now?
    A common used Java framework is Spring framework (ie https://spring.io/projects/spring-framework and short tutorials at https://www.baeldung.com/spring-intro). Source: almost 3 years ago
View more

Apache Drill mentions (3)

  • Git Query Language (GQL) Aggregation Functions, Groups, Alias
    Also are you familiar with apache drill . The idea is to put an SQL interpreter in front of any kind of database just like you are doing for git here. Source: almost 2 years ago
  • Roapi: An API Server for Static Datasets
    Looks super interesting and potentially useful. Curious how it compares with Apache Drill (https://drill.apache.org/). - Source: Hacker News / over 3 years ago
  • Does Java have an open source package that can execute SQL on txt/csv?
    Check out Apache Drill: https://drill.apache.org/. Source: over 3 years ago

What are some alternatives?

When comparing Spring Framework and Apache Drill, you can also consider the following products

Grails - An Open Source, full stack, web application framework for the JVM

Apache Calcite - Relational Databases

Django - The Web framework for perfectionists with deadlines

Open PostgreSQL Monitoring - Oversee and Manage Your PostgreSQL Servers

Laravel - A PHP Framework For Web Artisans

ReactiveMongo - Non-blocking, Reactive MongoDB Driver for Scala